Both temporal disaggregation techniques and bridge models are tools to analyse the GDP dynamics in the very short run (the current quarter), though their methodological approaches differ on how to exploit the available monthly information. The aim of this paper is to propose a way to merge the...

This paper discusses how to model and forecast a vector of time series sampled at different frequencies. To this end we first study how aggregation over time affects both, the dynamic components of a time series and their observability, in a multivariate linear framework. We find that the basic...

The paper documents and illustrates state space methods that implement time series disaggregation by regression methods, with dynamics that depend on a single autoregressive parameter. The most popular techniques for the distribution of economic flow variables, such as Chow-Lin, Fern´andez and...

The paper documents and illustrates state space methods that implement time series disaggregation by regression methods, with dynamics that depend on a single autoregressive parameter. The most popular techniques for the distribution of economic flow variables, such as Chow-Lin, Fernandez and...

We investigate the effects of the misspecification of cointegrating ranks at other frequencies on the inference of seasonal cointegration at the frequency of interest such as test for cointegrating rank and estimation of cointegrating vector. Earlier studies mostly focused on a single frequency...

We shed light on a class of models that increase the flexibility of the seasonal pattern within a framework of the structural time series model. The basic idea is to drive the seasonal summation model by a moving average process rather than by a white noise or an AR process. Generally, such an...

Pierce, Grupe, and Cleveland (1984) introduced a fixed regression approach to the problem of seasonal adjustment for weekly time series. Cleveland (1993) expanded this approach by adding locally-weighted regressions to allow for varying seasonal factors, and the Bureau of Labor Statistics...

This paper examines the distributions of (zero frequency) unit root test statistics for I(1) processes in the presence of noninvertible moving average components. The analysis initially considers a noninvertible MA(1), for which the asymptotic distribution of the ADF test statistic under the...